Workshop Report: The Governance of Decision-Making Algorithms

This report presents key interdisciplinary insights from IRGC’s expert workshop on the governance of decision-making algorithms, with particular focus on automated decisions based on learning algorithms (DMLAs). It highlights, among others, the need to improve the accuracy of DMLAs; embed good standards, principles or governance rules into their very design and functioning; address algorithmic bias with unfair social consequences; better differentiate if and when humans are in control, or unable to take control back; govern distinct risks arising by application or domain (e.g. DMLAs in healthcare/automated driving/predictive policy-making/insurance, etc.); better state key benchmarks against which DMLAs’ performance must be calibrated; better define accountability, responsibility and liabilities; and emphasize the centrality of digital trust.


Year:
Nov 23 2018
Publisher:
EPFL IRGC
Keywords:
Note:
EPFL IRGC (2018). The Governance of Decision-Making Algorithms. Lausanne: EPFL International Risk Governance Center.
Laboratories:




 Record created 2018-11-23, last modified 2019-05-09

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